Package manager of the distribution (apt, dnf, pacman…). In particular under Linux is itĭiscouraged to install pip packages alongside the packages managed by the Version of scikit-learn with pip or conda and its dependencies independently ofĪny previously installed Python packages.

Using such an isolated environment makes it possible to install a specific Strongly recommended to use a virtual environment (venv) or a conda environment.

Note that in order to avoid potential conflicts with other packages it is Python3 -m pip show scikit-learn # to see which version and where scikit-learn is installed python3 -m pip freeze # to see all packages installed in the active virtualenv python3 -c 'import sklearn sklearn.show_versions()' python -m pip show scikit-learn # to see which version and where scikit-learn is installed python -m pip freeze # to see all packages installed in the active virtualenv python -c 'import sklearn sklearn.show_versions()' python -m pip show scikit-learn # to see which version and where scikit-learn is installed python -m pip freeze # to see all packages installed in the active virtualenv python -c 'import sklearn sklearn.show_versions()' python -m pip show scikit-learn # to see which version and where scikit-learn is installed python -m pip freeze # to see all packages installed in the active virtualenv python -c 'import sklearn sklearn.show_versions()' conda list scikit-learn # to see which scikit-learn version is installed conda list # to see all packages installed in the active conda environment python -c 'import sklearn sklearn.show_versions()'

Pip upgrade all